Laser technology breakthrough will accelerate the rise of driverless cars

LIDAR is a hybrid of "light" and "radar." These sensors detect the surrounding environment by emitting light to other objects and measuring the time the light reflects back. LIDAR effect is good enough, but not perfect. LIDAR sensors currently used in driverless cars are large and costly. For example, the early LIDAR sensor used by every Google driverless car valued at $ 80,000 (about 509,000 yuan). Daniela Rus, director of MIT's lab for computer science and artificial intelligence, said, "Most participating cars were used in the DRM Urban Challenge at the Defense Advanced Research Projects Agency of the United States Department of Defense 500,000 US dollars (about 318 million yuan) sensor. "

LIDAR sensors are the "eyes" of driverless cars

According to the Wired website, researchers at the University of California, Berkeley, have said they have developed new laser technologies that can significantly reduce the energy consumption, size, weight, and cost of LIDAR sensors and may give rise to more different People driving a vehicle. Weijian Yang, one of the project's researchers, said: "It's important for unmanned land and air transport."

Yang Weijian's research efforts are aimed at improving LIDAR, reducing the cost of driverless cars and other vehicles, and trying to make it more widely used. Germany SICK company has been selling a less than 10,000 US dollars (about 64,000 yuan) of LIDAR, including Rouse, including the Massachusetts Institute of Technology and the National Research Foundation of Singapore researchers, the recent use of not more than Four SICK LIDAR sensors developed a driverless golf cart. As LIDAR sensor technology and data processing algorithms improve, driverless technology will be used not just for cars, but also for other smaller devices, including golf carts, robots and drones.

Construction of LIDAR

By constantly changing the laser wavelength, LIDAR enables the sensor to correctly identify the light reflected by the object and received. The wavelength variation requires precise manipulation of the lens (and sometimes multiple lenses). Under normal circumstances, the manipulation of the lens is a separate electrical device. "Connection," said Yang Weijian and his team are another way to use the laser to manipulate the lens.

"The LIDAR sensor no longer requires any additional electrical equipment and the size, weight, and energy consumption will be reduced," said Yang Weijian. "The LIDAR sensor automatically changes the position of the lens without the need for an external device. The laser device can be integrated with the lens, the entire LIDAR sensor can be reduced to hundreds of square microns in size. The corresponding AA battery to provide power.

More accurate image

According to Yang Weijian, this technique can be used to improve the quality of optical coherence tomography (OCT) of medical imaging equipment, but the most interesting possibility is the robot. Yang says their technology enables laser wavelengths to change more frequently - reducing the time interval from about 10 milliseconds to about 1 microsecond means that a LIDAR sensor can get more data faster. In other words, it provides a more accurate picture of the surroundings.

"Wired," said MIT researcher Emilio Ferrazzoli, who co-develops driverless golf carts with Ruth, said the smaller and cheaper LIDAR sensors have been used for recent Driverless cars are not essential, "LIDAR sensors are still costly at the moment, but they are getting better and cheaper, and I do not think it will be the bottleneck for driverless cars ". He pointed out that even with current LIDAR sensors, the price of driverless cars still has advantages over traditional cars and full-time drivers. But he pointed out that better sensors will certainly be welcome, especially for other applications. In fact, Yang believes that his work helps spawn a wider variety of unmanned vehicles and robots. In the next few years, the number of "eyes" machines will exceed expectations.

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